I (Keunsu Kim, キム・グンス) am an assistant professor (non-tenure track) at the Institute of Mathematics for Industry at Kyushu University. My Ph.D. advisor was Jae-Hun Jung. In 2009, I notice the fun of mathematics when I studied the factorization of polynomials. Since then I have confidence for me and decide to be a mathematician. When I was an undergraduate student, I took Quantum Mechanics class. I was impressed the formalism of 'state' and 'observable' using by linear algebra. In particular I was impressed the relation between Berry’s phase and given topology of space. I discussed this relation with graduate student who major in particle physics. I applied to graduate school of POSTECH because I wanted to major in mathematical physics, and there was IBS-CGP (Center for Geometry and Physics). After qualifying exam, I had studied symplectic geometry for nearly two years, but I changed my major to Topological Data Analysis (TDA). I felt symplectic geometry is very abstract and fanciful, TDA can do both geometry and application. I like the professor Hwang’s motto that is 'It is the most fundamental theories that translate into the best applications.’  

My Life was  나의 생애는

going around all shortcut 모든 지름길을 돌아서

a roundabout way that was only going to you 네게로 난 단 하나의 에움길이었다 -나희덕, 푸른 밤

Dreams

• In my country, people who have a serious illness go to famous hospitals so called Big 5 hospital in Seoul(capital of Republic of Korea). Judgement of a disease is very dependent on Doctor’s experience and intuition. This develops a deviation of medical service between the capital area and the province. In future, if AI analyze data well, this leads reducing the needed skills for doctors so we may receive the good medical service all over the country.

• I would like to teach my research for five years, and I would like to publish a textbook based on those lecture notes. Moreover I will write a collection of essays when I thirty years old. Because I like writing and I want to collect my thoughts of my life.

• My research, EMPH theory, reveals the relationship between topological data analysis for time-series data and Fourier analysis. I want to pursue further study of this relationship. Moreover, I aim to find the bridge between topological data analysis and traditional stochastic time-series analysis (e.g., ARIMA models). I want to see the forest rather than just the trees. 

• I am drifting apart from blackboard but there will be a time to close to blackboard again.